RESEARCH EVALUATION AT IIT - Introduction

RESEARCH EVALUATION AT IIT - Principles

RESEARCH EVALUATION AT IIT - Principles 01

IIT staff and researchers are informed in advance of ongoing evaluation processes and made aware of the reasons why an evaluation is taking place. Those processes may involve a researcher's activity and the activity of a research group or center. 

RESEARCH EVALUATION AT IIT - Principles 02

When comparing research groups, contextual information is provided when using indicators (e.g., number of group members, citational behaviors in the field, normalization by budget received, etc.). It will be recognized when it is not appropriate to provide certain types of quantitative data and when normalization is required. It is recommended that appropriate caveats regarding likely differences between research fields are acknowledged by the evaluators.

RESEARCH EVALUATION AT IIT - Principles 03

It is important that research assessment seeks a variety of perspectives and considers multiple levels of analysis (academic, economic, societal) for robust evidence-based decision-making. It is recommended to include a wide range of qualitative evaluation criteria and a suite of quantitative indicators rather than a single measure in isolation.

RESEARCH EVALUATION AT IIT - Principles 04

Quantitative indicators can be useful to have informed decision-making processes and expose potential biases or preconceptions. However, they are often affected by the career stage of a researcher, their discipline, their specific focus of research, and other characteristics. Therefore, peer review (e.g., as in panels of experts or evaluation committees) must go side by side with those indicators and provide an expert judgement and context in every evaluation process in IIT.

RESEARCH EVALUATION AT IIT - Principles 05

 Source data are made available where possible. For example, if the publication portfolio of a research group is analyzed, researchers are given information on how publications and their metadata have been sourced (e.g., Scopus, Web of Science, etc.) and can see the publication and citation data included. They are given guidance on how to request corrections. Similarly, funding and grants data, together with commercial and patenting activities shall be verifiable, too.

RESEARCH EVALUATION AT IIT - Principles 06

Where possible, the criteria of evaluation should be available to researchers and the quantitative indicators used should be easily reproducible. Researchers must be able to check and verify which bibliometric information is used to generate indicators.

RESEARCH EVALUATION AT IIT - Principles 07

The systems of evaluation used are sensitive to the evolving needs of IIT and responsive to the changing nature of the research landscape. Qualitative evaluation criteria and indicators are updated regularly and revised with the contribution of all stakeholders (scientific staff and the management). 

RESEARCH EVALUATION AT IIT - Principles 08

A "basket of metrics" approach will be used to avoid over-reliance on one indicator. The limitations of the metrics will be recognized, for example, the meaning and interpretation of citation counts, and the problems of false accuracy and variability associated with some journal-level metrics. The limitations of small sample sizes should also be accounted for, in any analysis.

RESEARCH EVALUATION AT IIT - Principles 09

IIT staff in charge of the evaluation processes should be continuously trained to ensure that all actors involved know of and act according to these principles. It is important to share with management the most recent best practices and pitfalls of indicators, when present.

RESEARCH EVALUATION AT IIT - CoARA Action Plan